A MapR Expansion Pack (MEP) provides a set of ecosystem components that work together on one or more MapR cluster versions.
Only one version of each ecosystem component is available in each MEP. For example, only one version of Hive and one version
of Spark is supported in a MEP.

This topic provides links to the locations of MapR's public APIs. These APIs are available for application development
purposes.

Vertica Analytics Platform

This document describes the steps required to run the Vertica Analytics Platform on a MapR
Hadoop cluster. It is not an installation guide for either product. Rather, it provides the
specific configuration steps to configure Vertica on the MapR solution.

Like Hadoop, Vertica is deployed in a cluster architecture that uses a shared-nothing
storage model. Each Vertica node typically uses a local Linux ext3 or ext4 filesystem to
store its files. The Vertica on MapR solution uses local NFS mounts of the MapR filesystem
instead of a local Linux filesystem. Using NFS mounts allows Vertica and Hadoop to run
simultaneously on the same set of hosts or systems. MapR provides for resource management
to control compute resources used by Hadoop applications and by Vertica. Note that, for
best performance, it is recommended to run Vertica on a dedicated server. The integration
between MapR and Vertica provides access to Hadoop applications, but may affect your
Vertica performance.

All storage on each Vertica/MapR node is flexibly allocated to Vertica or other Hadoop
applications as needed. You do not need to pre-allocate nodes or storage to Vertica or
Hadoop applications.

Target Versions

The Vertica and MapR solution has been tested with and is supported on the following
versions: